OBJECTIVE: Human brucellosis is a serious public health concern in the Xilingol League, Inner Mongolia; however, the epidemic trends are unclear. METHOD: In this study, Joinpoint regression analysis and spatiotemporal analysis were applied to investigate the epidemic evolution of human brucellosis. RESULT: From 2004 to 2023, a total of 35,747 cases were reported, with an annual average of 1787.35 cases and an annual average incidence rate of 176.04/100,000. The incidence increased from 173.96/100,000 in 2004 to 500.71/100,000 in 2009 and fluctuated to 61.43/100,000 in 2023. Three epidemic join points were observed in which the disease experienced an alternative rise and fall, peaking in 2009 (APC = 21.73, P > 0.001) and 2020 (APC = 21.51, P > 0.001). The disease showed a persistent decline trend in lentitude (AAPC = -5.30, P > 0.001), suggesting challenges in disease control and a higher risk of rebound. The most cases were reported in Xilinhot City ( n = 4,777), followed by 4,391 in Sonid Left Banner, and 4,324 in Abaga Banner. Spatiotemporal analysis revealed two high clusters (CI and CII) from 2005 to 2012, the high cluster encompassing eight counties and shifting from north to south. CONCLUSION The present analysis highlights that human brucellosis has decreased significantly in the Xilingol League, but the epidemic is still severe; further implementation of a strict control program is necessary.
China/epidemiology* ; Humans ; Brucellosis/epidemiology* ; Epidemics ; Spatio-Temporal Analysis ; Incidence ; Cluster Analysis

To explore the characteristics of big data of patients with allergic rhinitis, including the time, population and spatial distribution of allergic rhinitis in Beijing from 2016 to 2021, so as to provide reference for the prevention and treatment of this disease. Descriptive epidemiological methods were used to analyze the distribution (including gender, age and location)and trend of allergic rhinitis patients in 30 pilot hospitals from January 2016 to December 2021, T test and Kruskal-Wallis rank sum test were used to test the statistical differences. The results showed that the number of patients with allergic rhinitis in 30 hospitals increased year by year from 2016 to 2019, with an increase of 97.9%. In 2020, the number of patients decreased. In 2021, the number of visits returned to the pre-epidemic level (461 332); The number of patients with allergic rhinitis was the highest in September, with a seasonal index of 177.6%, while the lowest number was in February, accounting for only 47.2%; a significant difference was observed in the number of patients in different age groups(H=45 319.48, P<0.05), and patients under 15 years old accounted for the highest proportion(819 284 visits); There were significant differences between patients of different genders in the 45-59 year old group (t=-4.26, P<0.05).There were relatively more patients with allergic rhinitis in Dongcheng District(31.1%) than in Huairou District and Miyun District (0.4%). In conclusion, since 2016, the number of patients increased significantly, with a varied trend in different seasons. Most patients were children. There were more patients in the central urban area than in the outer suburbs.
Child ; Humans ; Female ; Male ; Adolescent ; Middle Aged ; Beijing/epidemiology* ; Big Data ; Epidemics ; Hospitals ; Rhinitis, Allergic/epidemiology*

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*

To explore the characteristics of big data of patients with allergic rhinitis, including the time, population and spatial distribution of allergic rhinitis in Beijing from 2016 to 2021, so as to provide reference for the prevention and treatment of this disease. Descriptive epidemiological methods were used to analyze the distribution (including gender, age and location)and trend of allergic rhinitis patients in 30 pilot hospitals from January 2016 to December 2021, T test and Kruskal-Wallis rank sum test were used to test the statistical differences. The results showed that the number of patients with allergic rhinitis in 30 hospitals increased year by year from 2016 to 2019, with an increase of 97.9%. In 2020, the number of patients decreased. In 2021, the number of visits returned to the pre-epidemic level (461 332); The number of patients with allergic rhinitis was the highest in September, with a seasonal index of 177.6%, while the lowest number was in February, accounting for only 47.2%; a significant difference was observed in the number of patients in different age groups(H=45 319.48, P<0.05), and patients under 15 years old accounted for the highest proportion(819 284 visits); There were significant differences between patients of different genders in the 45-59 year old group (t=-4.26, P<0.05).There were relatively more patients with allergic rhinitis in Dongcheng District(31.1%) than in Huairou District and Miyun District (0.4%). In conclusion, since 2016, the number of patients increased significantly, with a varied trend in different seasons. Most patients were children. There were more patients in the central urban area than in the outer suburbs.
Child ; Humans ; Female ; Male ; Adolescent ; Middle Aged ; Beijing/epidemiology* ; Big Data ; Epidemics ; Hospitals ; Rhinitis, Allergic/epidemiology*

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*

Different autoantibodies can be detected in patients with coronavirus disease 2019 (COVID-19). It is reported that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection could induce autoimmune diseases (AID), including children's multisystem inflammatory syndrome (MIS-C), Guillain Barre syndrome (GBS), Autoimmune hemolytic anemia (AIHA), immune thrombocytopenia (ITP) and thyroid autoimmune diseases. This article mainly reviews the similarities between COVID-19 and AID, the possibility of COVID-19 inducing AID, the risk of AID patients infected or vaccinated against COVID-19. The purpose is to provide strategies for the prevention, management and treatment of AID during the epidemic.
Child ; Humans ; COVID-19 ; SARS-CoV-2 ; Guillain-Barre Syndrome/therapy* ; Epidemics

Objective: To quantitatively estimate the incidence of COVID-19 in different backgrounds, including vaccination coverage, non-pharmacological interventions (NPIs) measures, home quarantine willingness and international arrivals, and the demands of healthcare resource in Shanghai in the context of optimized epidemic prevention and control strategies. Methods: Based on the natural history of 2019-nCoV, local vaccination coverage and NPI performance, an age-structured Susceptible-Exposed-Infections-Removed (SEIR) epidemic dynamic model was established for the estimation of the incidence of COVID-19 and demand of hospital beds in Shanghai by using the data on December 1, 2022 as the basis. Results: Based on current vaccination coverage, it is estimated that 180 184 COVID-19 cases would need treatment in hospitals in Shanghai within 100 days. When the booster vaccination coverage reaches an ideal level, the number of the cases needing hospitalization would decrease by 73.20%. School closure or school closure plus workplace closure could reduce the peak demand of regular beds by 24.04% or 37.73%, respectively, compared with the situation without NPI. Increased willingness of home quarantine could reduce the number of daily new cases and delay incidence peak of COVID-19. The number of international arrivals has little impact on the development of the epidemic. Conclusions: According to the epidemiological characteristics of COVID-19 and the actual situation of vaccination in Shanghai, the incidence of COVID-19 and health resource demand might be reduced by increasing vaccination coverage and early implementation of NPI.
Humans ; COVID-19/prevention & control* ; Incidence ; China/epidemiology* ; Epidemics/prevention & control* ; SARS-CoV-2

Objective: To analyze the differences between adults and children in the epidemic characteristics and clinical manifestations of chickenpox and provide a reference for the prevention strategy adjustment of chickenpox. Methods: The incidence data of chickenpox surveillance in Shandong Province from January 2019 to December 2021 were collected. Descriptive epidemiological methods were used to analyze the distribution of cases, and the chi-square test was used to compare the differences in epidemiological characteristics and clinical manifestations of varicella cases between adults and children. Results: A total of 66 182 cases of chickenpox were reported from 2019 to 2021, including 24 085 cases of adults chickenpox, the male to female sex ratio was 1∶1 (12 032∶12 053), basically the same for men and women, and 42 097 cases of children chickenpox, with a gender ratio of 1.4∶1, the male to female ratio was 1.4∶1 (24 699∶17 398). Fever in chickenpox cases was mainly low and moderate, but the proportion of moderate fever with temperature between 38.1 and 39.0 ℃ in children cases (35.0%,14 744/42 097) was significantly higher than that in adults (32.0%,7 696/24 085). The number of herpes in chickenpox cases was mainly less than 50, but the proportion of severe cases with 100-200 herpes in children was higher than that in adults. The incidence rate of complications was 1.4% (333/24 085) in adults chickenpox, the incidence rate of complications was 1.7% (731/42 097) in children chickenpox. The incidence of encephalitis and pneumonia in children was higher than in adults, and the difference was statistically significant (P<0.05). The proportion of chickenpox cases was mainly outpatient, but the hospitalization rate of children cases was 14.4% (6 049/42 097), higher than that of adults, which was 10.7% (2 585/24 085). Conclusions: There were differences between adult chickenpox and child chickenpox in terms of epidemic and clinical manifestations; the symptoms of child chickenpox were more serious than adult chickenpox. However, the adult chickenpox population is generally susceptible and lacks immune strategy protection, which calls for more attention.
Child ; Humans ; Adult ; Male ; Female ; Infant ; Chickenpox/prevention & control* ; Hospitalization ; Incidence ; Pneumonia/epidemiology* ; Epidemics ; Fever/epidemiology* ; Chickenpox Vaccine

HIV cluster detection and response (CDR) is a critical strategy to end the HIV epidemic by offering information to identify prevention and care services gaps. The risk metrics for HIV clusters can be classified into three groups: growth-based metrics, characteristic-based metrics, and phylogeny-based metrics. When identifying HIV risk clusters, the public health response can reach people in the affected networks, including people with undiagnosed HIV, people with diagnosed HIV who might not be accessing HIV care or other services, and people without HIV who would benefit from prevention services. To provide references for HIV precise prevention in China, we summarized the risk metrics and the intervention measures for CDR.
Humans ; HIV Infections/prevention & control* ; Acquired Immunodeficiency Syndrome/epidemiology* ; Public Health ; Epidemics/prevention & control* ; China/epidemiology*

Objective: To grasp the epidemiological characteristics of influenza outbreaks in Guangdong Province by analyzing the outbreaks of influenza-like cases reported in Guangdong Province from January 2015 to the end of August 2022. Methods: In response to the outbreak of epidemics in Guangdong Province from 2015 to 2022, information on on-site epidemic control was collected, and epidemiological analysis was conducted to describe the characteristics of the epidemics. The factors that influence the intensity and duration of the outbreak were determined through a logistic regression model. Results: A total of 1 901 influenza outbreaks were reported in Guangdong Province, with an overall incidence of 2.05%. Most outbreak reports occurred from November to January of the following year (50.24%, 955/1 901) and from April to June (29.88%, 568/1 901). A total of 59.23% (1 126/1 901) of the outbreaks were reported in the Pearl River Delta region, and primary and secondary schools were the main places where outbreaks occurred (88.01%, 1 673/1 901). Outbreaks with 10-29 cases were the most common (66.18%, 1 258/1 901), and most outbreaks lasted less than seven days (50.93%,906/1 779). The size of the outbreak was related to the nursery school (aOR=0.38, 95%CI:0.15-0.93), the Pearl River Delta region (aOR=0.60, 95%CI:0.44-0.83), the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=3.01, 95%CI:1.84-4.90), the influenza A(H1N1) (aOR=2.02, 95%CI:1.15-3.55) and the influenza B (Yamagata) (aOR=2.94, 95%CI: 1.50-5.76). The duration of outbreaks was related to school closures (aOR=0.65, 95%CI: 0.47-0.89), the Pearl River Delta region (aOR=0.65, 95%CI: 0.50-0.83) and the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=13.33, 95%CI: 8.80-20.19; 4-7 days compared with ≤3 days: aOR=2.56, 95%CI: 1.81-3.61). Conclusions: An influenza outbreak in Guangdong Province exhibits two peaks, one in the winter and spring seasons and the other in the summer. Primary and secondary schools are high-risk areas, and early reporting of outbreaks is critical for controlling influenza outbreaks in schools. Furthermore, comprehensive measures should be taken to prevent the spread of the epidemic.
Humans ; Influenza A Virus, H1N1 Subtype ; Influenza, Human/epidemiology* ; Disease Outbreaks ; Epidemics ; China/epidemiology*